5.5.8 - June 13, 2022 - Code Project’s SenseAI Version 1 - See V2 here https://ipcamtalk.com/threads/codeproject-ai-version-2-0.68030/
- Thread starter fenderman
- Start date
MikeLud1
IPCT Contributor
So far all looks good post the below screenshot.
One thing that I do not thinks should be an issue is that the Object Detection (YOLOv5 .NET) custom model folder only needs onnx extension files and the Object Detection (YOLOv5 6.2) custom model folder only needs PT extension files
sending both the yolov5 6.2 version (that shows only yolo, not ipcam-combined I think) and the .net version, which looks like nothing is happening in the log?
OK, I can now get both the ObjectDetection (Yolov5 6.2) AND the .NET versions working with Mike's models! The trick, for me, was to not have any yolov5l models in the respective custom model folders. Just IPcam-combined.pt in the ObjectDetectionYolo\custom-models folder and IPCam-combined.onnx in the ObjectDetectionNet\custom-models folder. It seems having both Mikes and Yolov5l in the same custom folders makes CPAI use only the Yolo and ignore mikes? for me anyway. So all good here for now
MikeLud1
IPCT Contributor
When Object Detection (YOLOv5 .NET) first starts it shows CPU, does it change if you run a test using CodeProject.AI Explorer link.
.
No, it stays the same.. Just count up from the zero to now 11.
MikeLud1
IPCT Contributor
I am not sure what the issue might be, it may be Remote Display Adapter. Can you post your issue on CodePjoject.AI forum
CodeProject.AI Discussions - CodeProject
www.codeproject.com
I have done that, and looking in the code to see if I can get any wiser about the problem. So far it seem that CPAI_MODULE_SUPPORT_GPU should be True, but its False.
MikeLud1
IPCT Contributor
What happens if you temporary disable the Remote Display Adapter and restart CodeProject.AI service, does it work then.
No, I have tried rebooting the pc, and just check the status via the webservice, but still no luck.
MikeLud1
IPCT Contributor
Not yet
So I just tried the Yolov5.net and first time I did not have CUDA checked in the BI AI settings and I would get this:
Then If I checked use CUDA in the BI AI settings I would get this:
So do we need to have CUDA checked ? This is using a INTEL embedded 770 CPU. I do think it is working as it bumps up mu GPU usage.
Then If I checked use CUDA in the BI AI settings I would get this:
So do we need to have CUDA checked ? This is using a INTEL embedded 770 CPU. I do think it is working as it bumps up mu GPU usage.
Thanks for testing. I can get GPU mode enabled by enabling CUDA in BI. But why is it controlled by BI and not the program itself ? Or both
In says GPU (DirectML) now, but don't see any GPU usage and response times are the same as using CPU.
So either its not working or the Intel GPU, in my case the Intel 630 UHD on a 6-core i5-8500T CPU, is not any faster than using the CPU mode.
@Tinman Do you see any difference in using CPU or the Intel GPU ? What kind of response times do you get ?
I'm pretty sure it was using my GPU according to my task manager, but the times were not much different. But I was using Mike's ip-combined custom model on CPU where in the .net mode it is using the default model, which I am thinking would yield a slower time, so it may be helping. Hopefully Once BI and CP get all the bugs out we will have more of a Idea. As far as the CUDA thing goes, I'm stumped on why that has to be checked ?? On my main BI machine I am still using CPU mode and it works VERY well for me, just wanted to see all our options.Thanks for testing. I can get GPU mode enabled by enabling CUDA in BI. But why is it controlled by BI and not the program itself ? Or both
In says GPU (DirectML) now, but don't see any GPU usage and response times are the same as using CPU.
So either its not working or the Intel GPU, in my case the Intel 630 UHD on a 6-core i5-8500T CPU, is not any faster than using the CPU mode.
@Tinman Do you see any difference in using CPU or the Intel GPU ? What kind of response times do you get ?
